ClariPI is debuting its new artificial intelligence (AI) software, ClariCT.AI, at RSNA 2018.
ClariCT.AI is a vendor-neutral CT denoising software based on deep learning. The firm's graphics processing unit (GPU) Recon Engine clears CT noise selectively and turns an existing CT scan into an AI-empowered CT scan using only DICOM standard.
ClariCT.AI provides multiple deep-learning models pretrained with millions of images for differing organs at varying noise levels from most existing scanner models. This enables the software to distinguish anatomical structures from thousands of different noise patterns and to reconstruct noise-clean high-quality images without time-consuming iterations, the firm said.
The software reduces radiation exposure by 70% to 95%, according to ClariPI. Lesion details and anatomical structures at ultralow-dose scans as low as 5 mAs can be clearly uncovered with ClariCT.AI from strong noise and artifacts without distortion and plastic appearance, the firm added.




















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)